mcp-prometheus
Connects AI assistants directly to Prometheus metrics, enabling natural-language queries against monitoring data without writing PromQL.
Go-based MCP server for Prometheus and Mimir from Giant Swarm. Exposes 18 read-only tools wrapping the Prometheus HTTP API: instant and range PromQL queries, metric/label/series discovery, target and runtime info, TSDB stats, alerting rules, and exemplars. Can also run as a full OAuth 2.1 authorization server (backed by Dex/OIDC) that resolves each authenticated user's Mimir tenant IDs and enforces them on every query — built for multi-tenant, in-cluster deployments.
Connects AI assistants directly to Prometheus metrics, enabling natural-language queries against monitoring data without writing PromQL. Makes infrastructure health accessible to team members who are not metrics experts.
DevOps and SRE teams who want to query and interpret Prometheus monitoring data through AI without deep PromQL expertise.
https://github.com/giantswarm/mcp-prometheus
By giantswarm
How to Get It
Download a pre-built binary from https://github.com/giantswarm/mcp-prometheus/releases, or build from source: git clone https://github.com/giantswarm/mcp-prometheus.git && cd mcp-prometheus && go build -o mcp-prometheus ./... — then run `mcp-prometheus serve` with PROMETHEUS_URL set
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Trust Signals Auto-scanned
Data & Access
Community Pulse Growing
Discussed on Reddit
- Monkey Patching Otel and Prometheus Support into MCP — Reddit · 43 pts
- 🚀 Help maintain and develop prometheus-mcp-server - Bridge AI Assistants with Pr — Reddit · 7 pts
- Monkey Patching Otel and Prometheus Support into MCP — Reddit · 6 pts
3 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 9 GitHub stars; 10 contributors; last commit 4d ago; license Apache-2.0.
Things to check
- Recently discovered. Looks promising but has limited community feedback so far. We added it early so you can evaluate it before the crowd finds it.
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Evaluation
catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 9 GitHub stars; 10 contributors; last commit 4d ago; license Apache-2.0.